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Science Manager Jobs in Ohio (NOW HIRING)

Kemper

Data Science Manager

Columbus, OH · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

prince

Color Science Specialist

Ashtabula, OH · On-site

This would be at the discretion of the Color Science Manager. Qualifications: * BS/BA degree in a relevant science field for coatings and color technology. BS/BA degree in Color Science, Physics ...

Credence

Data Science Manager

Dayton, OH · On-site

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

Credence

Data Science Manager

Dayton, OH · On-site

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

Ispn Psych

Associate Staff Scientist Manager

Cincinnati, OH · On-site

$80 - $120/hr

Manage the C> seminar series, program meetings, and other engagements; maintain meeting records and ... PhD in a relevant biomedical science discipline* 3+ years of post-doctoral or equivalent research ...

New

Varsity Tutors

Agricultural Science Tutor

Akron, OH · Remote

$18 - $40/hr

Deep knowledge of soil science, plant biology, animal science, agricultural economics, sustainable farming practices, pest management, genetic modification, food science, and environmental ...

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Science Manager information

See Ohio salary details

$8

$25

$51

How much do science manager jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for science manager in Ohio is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $31.06 per hour, depending on experience, location, and employer.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What does a science manager do?

A science manager oversees scientific research projects, coordinates teams of scientists, and ensures that experiments and studies meet objectives and standards. They often manage budgets, develop strategies, and communicate findings to stakeholders, requiring strong leadership and knowledge of scientific methods and tools.

What are the most commonly searched types of Science jobs in Ohio?

The most popular types of Science jobs in Ohio are:

What cities in Ohio are hiring for Science Manager jobs?

Cities in Ohio with the most Science Manager job openings:

Science Manager jobs near you
Infographic showing various Science Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $52,104 per year, or $25.1 per hour.

Data Science Manager

Credence Management Solutions

Dayton, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Science Manager

At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH.

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operationsresulting in war-winning expeditionary capabilities.

Responsibilities include, but are not limited to the duties listed below:

  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community's DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.

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